From 66fcb392f79084c45902829e686f9341fd8c59be Mon Sep 17 00:00:00 2001 From: Fahad Khalid <f.khalid@fz-juelich.de> Date: Tue, 18 May 2021 09:48:45 +0200 Subject: [PATCH] Updated 3rd party license information. --- NOTICE | 44 +++++++--------------------- training_data_distribution/README.md | 4 +-- 2 files changed, 13 insertions(+), 35 deletions(-) diff --git a/NOTICE b/NOTICE index 22a9d69..11aba54 100644 --- a/NOTICE +++ b/NOTICE @@ -18,7 +18,7 @@ limitations under the License. Tensorflow -Copyright 2016 The TensorFlow Authors. All rights reserved. +Copyright 2019 The TensorFlow Authors. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. @@ -34,38 +34,16 @@ limitations under the License. Keras -All contributions by François Chollet: -Copyright (c) 2015 - 2019, François Chollet. -All rights reserved. +Copyright 2015 The TensorFlow Authors. All rights reserved. -All contributions by Google: -Copyright (c) 2015 - 2019, Google, Inc. -All rights reserved. - -All contributions by Microsoft: -Copyright (c) 2017 - 2019, Microsoft, Inc. -All rights reserved. - -All other contributions: -Copyright (c) 2015 - 2019, the respective contributors. -All rights reserved. - -Licensed under The MIT License (MIT) - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. + http://www.apache.org/licenses/LICENSE-2.0 -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. \ No newline at end of file diff --git a/training_data_distribution/README.md b/training_data_distribution/README.md index 6e4028e..374f623 100644 --- a/training_data_distribution/README.md +++ b/training_data_distribution/README.md @@ -1,8 +1,8 @@ # Introduction This example distributes the partitioned MNIST data across multiple ranks -for truly data distributed training of a shallow ANN for handwritten digit -classification. +for truly data distributed training of a shallow Artificial Neural Network for +handwritten digit classification. The Horovod framework is used for seamless distributed training. However, instead of distributing epochs, this example distributes data amongst the -- GitLab